Alternatives and similar repositories for Credit-GANS

Users that are interested in Credit-GANS are comparing it to the libraries listed below

• ajayrao80 / CreditCardFraudDetection
  An attempt to detect fraud in online transaction in deep neural network using pytorch
  ☆13Updated 7 years ago
• xadrianzetx / temporal-conv-net-keras
  TCN architecture for time series
  ☆24Updated 7 years ago
• DuaneNielsen / DualAttentionSeq2Seq
  Analysis of Time Series data using Seq2Seq LSTM and 2 attention layers
  ☆16Updated 7 years ago
• saili0103 / TransLasso
  Rcode for the TransLasso algorithm (transfer learning in high-dimensional linear models)
  ☆15Updated 4 years ago
• bvshyam / ctgan_tabular_data
  Creating tabular GAN on credit card dataset
  ☆20Updated 5 years ago
• jay15summer / Two-stage-TrAdaboost.R2
  ☆47Updated 7 years ago
• wangamama / TransferLearning
  instance based Transfer learning, TrAdaboost, mutisource-trAdaBoost regresion
  ☆15Updated 7 years ago
• SophiaWJ / Transfer-learning
  Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction
  ☆12Updated 7 years ago
• Modo0202 / IntelligentRiskControl
  智能风控 python金融风险管理与评分卡建模 数据和代码
  ☆24Updated 3 years ago
• weepon / feature_selection
  常用的特征选择方法
  ☆68Updated 3 years ago
• carloschavez9 / ensemble-time-series
  Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) laye…
  ☆33Updated 8 years ago
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆53Updated 8 years ago
• yiqiyu / tradaboost
  The Python implementation of Tradaboost classifier and regressor
  ☆15Updated 7 years ago
• radicali94 / TimeSeries-Regression
  Comparing XGBoost, CatBoost and LightGBM on TimeSeries Regression (RMSE, R2, AIC) on two different TimeSeries datasets.
  ☆23Updated 6 years ago
• DJofOUC / IEEE-CIS-Fraud-Detection
  kaggle: IEEE-CIS Fraud Detection
  ☆30Updated 6 years ago
• xuman-Amy / preprocessing
  数据预处理之缺失值处理，特征选择
  ☆22Updated 6 years ago
• IBM / xgboost-smote-detect-fraud
  Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in t…
  ☆64Updated 5 years ago
• shoumo95 / Stock_Prediction_Model_using_Attention_Multilayer_RNN_LSTM
  RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells
  ☆40Updated 8 years ago
• jia-zhuang / xgboost-lightgbm-hyperparameter-tuning
  Bayesian Optimization and Grid Search for xgboost/lightgbm
  ☆77Updated 8 months ago
• CVxTz / DeepTabular
  ☆37Updated 5 years ago
• deKeijzer / Multivariate-time-series-models-in-Keras
  This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) tim…
  ☆139Updated 6 years ago
• ILoveAI2019 / OCAN
  OCAN: One-Class Adversarial Nets for Fraud Detection
  ☆24Updated 7 years ago
• antoniopaisfernandes / Demand-Forecasting
  This machine learning model (LSTM Time Series model) helps us to forecast demand of a supply chain business problem. This model uses Kera…
  ☆30Updated 7 years ago
• codyznash / GANs_for_Credit_Card_Data
  ☆109Updated 2 years ago
• husnejahan / Temporal-CNN
  Probabilistic Forecasting with Temporal Convolutional Neural Network
  ☆11Updated 5 years ago
• jeanjerome / semisupervised_timeseries_infogan
  A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…
  ☆29Updated 7 years ago
• Geoffrey-Z / Multivariate-Time-Series-Forecasting-with-LSTMs-in-Keras-for-CORN-SWEET-Terminal-Market-Price
  ☆16Updated 4 years ago
• abelusha / AutoEncoders-for-Anomaly-Detection
  ☆26Updated 7 years ago
• surajiyer / Transfer-learning-with-TrAdaBoost
  Scikit-learn style implementation of TrAdaBoost algorithm
  ☆36Updated 7 years ago
• zhulei227 / Stacking_Ensembles
  Stacking classification and regression
  ☆25Updated 6 years ago